Pandas Profiling Report

Dataset statistics

Number of variables	51
Number of observations	41188
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	1528
Duplicate rows (%)	3.7%
Total size in memory	3.9 MiB
Average record size in memory	100.0 B

Variable types

Numeric	7
Categorical	44

Alerts

Dataset has 1528 (3.7%) duplicate rows	Duplicates
`pdays` is highly correlated with `previous` and 1 other fields	High correlation
`previous` is highly correlated with `pdays` and 1 other fields	High correlation
`cons.price.idx` is highly correlated with `contact_telephone`	High correlation
`cons.conf.idx` is highly correlated with `month_aug`	High correlation
`marital_married` is highly correlated with `marital_single`	High correlation
`marital_single` is highly correlated with `marital_married`	High correlation
`housing_unknown` is highly correlated with `loan_unknown`	High correlation
`loan_unknown` is highly correlated with `housing_unknown`	High correlation
`contact_telephone` is highly correlated with `cons.price.idx`	High correlation
`month_aug` is highly correlated with `cons.conf.idx`	High correlation
`poutcome_nonexistent` is highly correlated with `previous`	High correlation
`poutcome_success` is highly correlated with `pdays`	High correlation
`pdays` is highly correlated with `previous` and 1 other fields	High correlation
`previous` is highly correlated with `pdays` and 2 other fields	High correlation
`cons.price.idx` is highly correlated with `euribor3m` and 1 other fields	High correlation
`euribor3m` is highly correlated with `cons.price.idx`	High correlation
`marital_married` is highly correlated with `marital_single`	High correlation
`marital_single` is highly correlated with `marital_married`	High correlation
`housing_unknown` is highly correlated with `loan_unknown`	High correlation
`loan_unknown` is highly correlated with `housing_unknown`	High correlation
`contact_telephone` is highly correlated with `cons.price.idx`	High correlation
`poutcome_nonexistent` is highly correlated with `previous`	High correlation
`poutcome_success` is highly correlated with `pdays` and 1 other fields	High correlation
`pdays` is highly correlated with `previous` and 1 other fields	High correlation
`previous` is highly correlated with `pdays` and 1 other fields	High correlation
`cons.price.idx` is highly correlated with `contact_telephone`	High correlation
`marital_married` is highly correlated with `marital_single`	High correlation
`marital_single` is highly correlated with `marital_married`	High correlation
`housing_unknown` is highly correlated with `loan_unknown`	High correlation
`loan_unknown` is highly correlated with `housing_unknown`	High correlation
`contact_telephone` is highly correlated with `cons.price.idx`	High correlation
`poutcome_nonexistent` is highly correlated with `previous`	High correlation
`poutcome_success` is highly correlated with `pdays`	High correlation
`marital_single` is highly correlated with `marital_married`	High correlation
`housing_unknown` is highly correlated with `loan_unknown`	High correlation
`marital_married` is highly correlated with `marital_single`	High correlation
`loan_unknown` is highly correlated with `housing_unknown`	High correlation
`age` is highly correlated with `job_retired` and 1 other fields	High correlation
`pdays` is highly correlated with `previous` and 4 other fields	High correlation
`previous` is highly correlated with `pdays` and 3 other fields	High correlation
`cons.price.idx` is highly correlated with `cons.conf.idx` and 8 other fields	High correlation
`cons.conf.idx` is highly correlated with `pdays` and 14 other fields	High correlation
`euribor3m` is highly correlated with `pdays` and 10 other fields	High correlation
`job_blue-collar` is highly correlated with `education_basic.9y` and 1 other fields	High correlation
`job_retired` is highly correlated with `age`	High correlation
`job_services` is highly correlated with `education_high.school`	High correlation
`job_technician` is highly correlated with `education_professional.course`	High correlation
`marital_married` is highly correlated with `marital_single`	High correlation
`marital_single` is highly correlated with `age` and 1 other fields	High correlation
`education_basic.9y` is highly correlated with `job_blue-collar`	High correlation
`education_high.school` is highly correlated with `job_services` and 1 other fields	High correlation
`education_professional.course` is highly correlated with `job_technician`	High correlation
`education_university.degree` is highly correlated with `job_blue-collar` and 1 other fields	High correlation
`housing_unknown` is highly correlated with `loan_unknown`	High correlation
`loan_unknown` is highly correlated with `housing_unknown`	High correlation
`contact_telephone` is highly correlated with `cons.price.idx` and 4 other fields	High correlation
`month_aug` is highly correlated with `cons.price.idx` and 1 other fields	High correlation
`month_dec` is highly correlated with `cons.conf.idx`	High correlation
`month_jul` is highly correlated with `cons.price.idx` and 1 other fields	High correlation
`month_jun` is highly correlated with `cons.price.idx` and 2 other fields	High correlation
`month_mar` is highly correlated with `cons.conf.idx` and 1 other fields	High correlation
`month_may` is highly correlated with `cons.price.idx` and 3 other fields	High correlation
`month_nov` is highly correlated with `cons.price.idx` and 2 other fields	High correlation
`month_oct` is highly correlated with `cons.price.idx` and 1 other fields	High correlation
`month_sep` is highly correlated with `cons.conf.idx`	High correlation
`poutcome_nonexistent` is highly correlated with `pdays` and 4 other fields	High correlation
`poutcome_success` is highly correlated with `pdays` and 3 other fields	High correlation
`y` is highly correlated with `cons.conf.idx` and 1 other fields	High correlation
`previous` has 35563 (86.3%) zeros	Zeros

Reproduction

Analysis started	2022-01-27 14:11:24.361924
Analysis finished	2022-01-27 14:12:09.270750
Duration	44.91 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	78
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.02406041

Minimum	17
Maximum	98
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.9 KiB

Quantile statistics

Minimum	17
5-th percentile	26
Q1	32
median	38
Q3	47
95-th percentile	58
Maximum	98
Range	81
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	10.42124998
Coefficient of variation (CV)	0.2603746315
Kurtosis	0.7913115312
Mean	40.02406041
Median Absolute Deviation (MAD)	7
Skewness	0.7846968158
Sum	1648511
Variance	108.6024512
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
31	1947	4.7%
32	1846	4.5%
33	1833	4.5%
36	1780	4.3%
35	1759	4.3%
34	1745	4.2%
30	1714	4.2%
37	1475	3.6%
29	1453	3.5%
39	1432	3.5%
Other values (68)	24204	58.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
17	5	< 0.1%
18	28	0.1%
19	42	0.1%
20	65	0.2%
21	102	0.2%
22	137	0.3%
23	226	0.5%
24	463	1.1%
25	598	1.5%
26	698	1.7%

Value	Count	Frequency (%)
98	2	< 0.1%
95	1	< 0.1%
94	1	< 0.1%
92	4	< 0.1%
91	2	< 0.1%
89	2	< 0.1%
88	22	0.1%
87	1	< 0.1%
86	8	< 0.1%
85	15	< 0.1%

campaign
Real number (ℝ_≥0)

Distinct	42
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.567592503

Minimum	1
Maximum	56
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.9 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	7
Maximum	56
Range	55
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.770013543
Coefficient of variation (CV)	1.078836903
Kurtosis	36.97979514
Mean	2.567592503
Median Absolute Deviation (MAD)	1
Skewness	4.762506697
Sum	105754
Variance	7.672975028
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
1	17642	42.8%
2	10570	25.7%
3	5341	13.0%
4	2651	6.4%
5	1599	3.9%
6	979	2.4%
7	629	1.5%
8	400	1.0%
9	283	0.7%
10	225	0.5%
Other values (32)	869	2.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	17642	42.8%
2	10570	25.7%
3	5341	13.0%
4	2651	6.4%
5	1599	3.9%
6	979	2.4%
7	629	1.5%
8	400	1.0%
9	283	0.7%
10	225	0.5%

Value	Count	Frequency (%)
56	1	< 0.1%
43	2	< 0.1%
42	2	< 0.1%
41	1	< 0.1%
40	2	< 0.1%
39	1	< 0.1%
37	1	< 0.1%
35	5	< 0.1%
34	3	< 0.1%
33	4	< 0.1%

pdays
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	27
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	962.475454

Minimum	0
Maximum	999
Zeros	15
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	321.9 KiB

Quantile statistics

Minimum	0
5-th percentile	999
Q1	999
median	999
Q3	999
95-th percentile	999
Maximum	999
Range	999
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	186.9109073
Coefficient of variation (CV)	0.194198103
Kurtosis	22.22946263
Mean	962.475454
Median Absolute Deviation (MAD)	0
Skewness	-4.922189916
Sum	39642439
Variance	34935.68728
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
999	39673	96.3%
3	439	1.1%
6	412	1.0%
4	118	0.3%
9	64	0.2%
2	61	0.1%
7	60	0.1%
12	58	0.1%
10	52	0.1%
5	46	0.1%
Other values (17)	205	0.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	15	< 0.1%
1	26	0.1%
2	61	0.1%
3	439	1.1%
4	118	0.3%
5	46	0.1%
6	412	1.0%
7	60	0.1%
8	18	< 0.1%
9	64	0.2%

Value	Count	Frequency (%)
999	39673	96.3%
27	1	< 0.1%
26	1	< 0.1%
25	1	< 0.1%
22	3	< 0.1%
21	2	< 0.1%
20	1	< 0.1%
19	3	< 0.1%
18	7	< 0.1%
17	8	< 0.1%

previous
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1729629989

Minimum	0
Maximum	7
Zeros	35563
Zeros (%)	86.3%
Negative	0
Negative (%)	0.0%
Memory size	321.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	7
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.4949010798
Coefficient of variation (CV)	2.861311858
Kurtosis	20.10881622
Mean	0.1729629989
Median Absolute Deviation (MAD)	0
Skewness	3.832042243
Sum	7124
Variance	0.2449270788
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	35563	86.3%
1	4561	11.1%
2	754	1.8%
3	216	0.5%
4	70	0.2%
5	18	< 0.1%
6	5	< 0.1%
7	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	35563	86.3%
1	4561	11.1%
2	754	1.8%
3	216	0.5%
4	70	0.2%
5	18	< 0.1%
6	5	< 0.1%
7	1	< 0.1%

Value	Count	Frequency (%)
7	1	< 0.1%
6	5	< 0.1%
5	18	< 0.1%
4	70	0.2%
3	216	0.5%
2	754	1.8%
1	4561	11.1%
0	35563	86.3%

cons.price.idx
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	26
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	93.57566437

Minimum	92.201
Maximum	94.767
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.9 KiB

Quantile statistics

Minimum	92.201
5-th percentile	92.713
Q1	93.075
median	93.749
Q3	93.994
95-th percentile	94.465
Maximum	94.767
Range	2.566
Interquartile range (IQR)	0.919

Descriptive statistics

Standard deviation	0.578840049
Coefficient of variation (CV)	0.00618579684
Kurtosis	-0.8298085772
Mean	93.57566437
Median Absolute Deviation (MAD)	0.38
Skewness	-0.2308876514
Sum	3854194.464
Variance	0.3350558023
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
93.994	7763	18.8%
93.918	6685	16.2%
92.893	5794	14.1%
93.444	5175	12.6%
94.465	4374	10.6%
93.2	3616	8.8%
93.075	2458	6.0%
92.201	770	1.9%
92.963	715	1.7%
92.431	447	1.1%
Other values (16)	3391	8.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
92.201	770	1.9%
92.379	267	0.6%
92.431	447	1.1%
92.469	178	0.4%
92.649	357	0.9%
92.713	172	0.4%
92.756	10	< 0.1%
92.843	282	0.7%
92.893	5794	14.1%
92.963	715	1.7%

Value	Count	Frequency (%)
94.767	128	0.3%
94.601	204	0.5%
94.465	4374	10.6%
94.215	311	0.8%
94.199	303	0.7%
94.055	229	0.6%
94.027	233	0.6%
93.994	7763	18.8%
93.918	6685	16.2%
93.876	212	0.5%

cons.conf.idx
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION

Distinct	26
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-40.50260027

Minimum	-50.8
Maximum	-26.9
Zeros	0
Zeros (%)	0.0%
Negative	41188
Negative (%)	100.0%
Memory size	321.9 KiB

Quantile statistics

Minimum	-50.8
5-th percentile	-47.1
Q1	-42.7
median	-41.8
Q3	-36.4
95-th percentile	-33.6
Maximum	-26.9
Range	23.9
Interquartile range (IQR)	6.3

Descriptive statistics

Standard deviation	4.628197856
Coefficient of variation (CV)	-0.1142691537
Kurtosis	-0.3585583105
Mean	-40.50260027
Median Absolute Deviation (MAD)	4.4
Skewness	0.3031798587
Sum	-1668221.1
Variance	21.4202154
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
-36.4	7763	18.8%
-42.7	6685	16.2%
-46.2	5794	14.1%
-36.1	5175	12.6%
-41.8	4374	10.6%
-42	3616	8.8%
-47.1	2458	6.0%
-31.4	770	1.9%
-40.8	715	1.7%
-26.9	447	1.1%
Other values (16)	3391	8.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-50.8	128	0.3%
-50	282	0.7%
-49.5	204	0.5%
-47.1	2458	6.0%
-46.2	5794	14.1%
-45.9	10	< 0.1%
-42.7	6685	16.2%
-42	3616	8.8%
-41.8	4374	10.6%
-40.8	715	1.7%

Value	Count	Frequency (%)
-26.9	447	1.1%
-29.8	267	0.6%
-30.1	357	0.9%
-31.4	770	1.9%
-33	172	0.4%
-33.6	178	0.4%
-34.6	174	0.4%
-34.8	264	0.6%
-36.1	5175	12.6%
-36.4	7763	18.8%

euribor3m
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	316
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.621290813

Minimum	0.634
Maximum	5.045
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	321.9 KiB

Quantile statistics

Minimum	0.634
5-th percentile	0.797
Q1	1.344
median	4.857
Q3	4.961
95-th percentile	4.966
Maximum	5.045
Range	4.411
Interquartile range (IQR)	3.617

Descriptive statistics

Standard deviation	1.734447405
Coefficient of variation (CV)	0.4789583313
Kurtosis	-1.406802622
Mean	3.621290813
Median Absolute Deviation (MAD)	0.108
Skewness	-0.7091879564
Sum	149153.726
Variance	3.0083078
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.857	2868	7.0%
4.962	2613	6.3%
4.963	2487	6.0%
4.961	1902	4.6%
4.856	1210	2.9%
4.964	1175	2.9%
1.405	1169	2.8%
4.965	1071	2.6%
4.864	1044	2.5%
4.96	1013	2.5%
Other values (306)	24636	59.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.634	8	< 0.1%
0.635	43	0.1%
0.636	14	< 0.1%
0.637	6	< 0.1%
0.638	7	< 0.1%
0.639	16	< 0.1%
0.64	10	< 0.1%
0.642	35	0.1%
0.643	23	0.1%
0.644	38	0.1%

Value	Count	Frequency (%)
5.045	9	< 0.1%
5	7	< 0.1%
4.97	172	0.4%
4.968	992	2.4%
4.967	643	1.6%
4.966	622	1.5%
4.965	1071	2.6%
4.964	1175	2.9%
4.963	2487	6.0%
4.962	2613	6.3%

job_blue-collar
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	31934
1	9254

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	31934	77.5%
1	9254	22.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	31934	77.5%
1	9254	22.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

job_entrepreneur
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	39732
1	1456

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	39732	96.5%
1	1456	3.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	39732	96.5%
1	1456	3.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

job_housemaid
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	40128
1	1060

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	40128	97.4%
1	1060	2.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	40128	97.4%
1	1060	2.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

job_management
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	38264
1	2924

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	38264	92.9%
1	2924	7.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	38264	92.9%
1	2924	7.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

job_retired
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	39468
1	1720

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	39468	95.8%
1	1720	4.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	39468	95.8%
1	1720	4.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

job_self-employed
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	39767
1	1421

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	39767	96.5%
1	1421	3.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	39767	96.5%
1	1421	3.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

job_services
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	37219
1	3969

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	37219	90.4%
1	3969	9.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	37219	90.4%
1	3969	9.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

job_student
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	40313
1	875

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	40313	97.9%
1	875	2.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	40313	97.9%
1	875	2.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

job_technician
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	34445
1	6743

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	34445	83.6%
1	6743	16.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	34445	83.6%
1	6743	16.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

job_unemployed
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	40174
1	1014

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	40174	97.5%
1	1014	2.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	40174	97.5%
1	1014	2.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

job_unknown
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	40858
1	330

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	40858	99.2%
1	330	0.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	40858	99.2%
1	330	0.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

marital_married
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

1	24928
0	16260

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	24928	60.5%
0	16260	39.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	24928	60.5%
0	16260	39.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

marital_single
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	29620
1	11568

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	29620	71.9%
1	11568	28.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	29620	71.9%
1	11568	28.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

marital_unknown
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	41108
1	80

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	41108	99.8%
1	80	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	41108	99.8%
1	80	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

education_basic.6y
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	38896
1	2292

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	38896	94.4%
1	2292	5.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	38896	94.4%
1	2292	5.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

education_basic.9y
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	35143
1	6045

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	35143	85.3%
1	6045	14.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	35143	85.3%
1	6045	14.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

education_high.school
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	31673
1	9515

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	31673	76.9%
1	9515	23.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	31673	76.9%
1	9515	23.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

education_illiterate
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	41170
1	18

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	41170	> 99.9%
1	18	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	41170	> 99.9%
1	18	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

education_professional.course
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	35945
1	5243

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	35945	87.3%
1	5243	12.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	35945	87.3%
1	5243	12.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

education_university.degree
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	29020
1	12168

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	29020	70.5%
1	12168	29.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	29020	70.5%
1	12168	29.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

education_unknown
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	39457
1	1731

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	39457	95.8%
1	1731	4.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	39457	95.8%
1	1731	4.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

default_unknown
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	32591
1	8597

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	32591	79.1%
1	8597	20.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	32591	79.1%
1	8597	20.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

default_yes
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	41185
1	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	41185	> 99.9%
1	3	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	41185	> 99.9%
1	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

housing_unknown
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	40198
1	990

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	40198	97.6%
1	990	2.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	40198	97.6%
1	990	2.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

housing_yes
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

1	21576
0	19612

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
1	21576	52.4%
0	19612	47.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	21576	52.4%
0	19612	47.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

loan_unknown
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	40198
1	990

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	40198	97.6%
1	990	2.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	40198	97.6%
1	990	2.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

loan_yes
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	34940
1	6248

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	34940	84.8%
1	6248	15.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	34940	84.8%
1	6248	15.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

contact_telephone
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	26144
1	15044

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	26144	63.5%
1	15044	36.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	26144	63.5%
1	15044	36.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

month_aug
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	35010
1	6178

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	35010	85.0%
1	6178	15.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	35010	85.0%
1	6178	15.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

month_dec
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	41006
1	182

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	41006	99.6%
1	182	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	41006	99.6%
1	182	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

month_jul
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	34014
1	7174

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	34014	82.6%
1	7174	17.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	34014	82.6%
1	7174	17.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

month_jun
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	35870
1	5318

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	35870	87.1%
1	5318	12.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	35870	87.1%
1	5318	12.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

month_mar
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	40642
1	546

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	40642	98.7%
1	546	1.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	40642	98.7%
1	546	1.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

month_may
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	27419
1	13769

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	27419	66.6%
1	13769	33.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	27419	66.6%
1	13769	33.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

month_nov
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	37087
1	4101

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	37087	90.0%
1	4101	10.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	37087	90.0%
1	4101	10.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

month_oct
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	40470
1	718

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	40470	98.3%
1	718	1.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	40470	98.3%
1	718	1.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

month_sep
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	40618
1	570

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	40618	98.6%
1	570	1.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	40618	98.6%
1	570	1.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

day_of_week_mon
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	32674
1	8514

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	32674	79.3%
1	8514	20.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	32674	79.3%
1	8514	20.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

day_of_week_thu
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	32565
1	8623

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	32565	79.1%
1	8623	20.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	32565	79.1%
1	8623	20.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

day_of_week_tue
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	33098
1	8090

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	33098	80.4%
1	8090	19.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	33098	80.4%
1	8090	19.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

day_of_week_wed
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	33054
1	8134

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	33054	80.3%
1	8134	19.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	33054	80.3%
1	8134	19.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

poutcome_nonexistent
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

1	35563
0	5625

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	35563	86.3%
0	5625	13.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	35563	86.3%
0	5625	13.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

poutcome_success
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	39815
1	1373

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	39815	96.7%
1	1373	3.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	39815	96.7%
1	1373	3.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

y
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

0	36548
1	4640

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	36548	88.7%
1	4640	11.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	36548	88.7%
1	4640	11.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Matrix

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	age	campaign	pdays	cons.price.idx	cons.conf.idx	euribor3m	job_blue-collar	job_housemaid	job_services	job_technician	marital_married	marital_single	education_basic.6y	education_basic.9y	education_high.school	education_professional.course	education_unknown	default_unknown	housing_yes	loan_yes	contact_telephone	month_may	day_of_week_mon	poutcome_nonexistent
0	56	1	999	93.994	-36.4	4.857	0	1	0	0	1	0	0	0	0	0	0	0	0	0	1	1	1	1
1	57	1	999	93.994	-36.4	4.857	0	0	1	0	1	0	0	0	1	0	0	1	0	0	1	1	1	1
2	37	1	999	93.994	-36.4	4.857	0	0	1	0	1	0	0	0	1	0	0	0	1	0	1	1	1	1
3	40	1	999	93.994	-36.4	4.857	0	0	0	0	1	0	1	0	0	0	0	0	0	0	1	1	1	1
4	56	1	999	93.994	-36.4	4.857	0	0	1	0	1	0	0	0	1	0	0	0	0	1	1	1	1	1
5	45	1	999	93.994	-36.4	4.857	0	0	1	0	1	0	0	1	0	0	0	1	0	0	1	1	1	1
6	59	1	999	93.994	-36.4	4.857	0	0	0	0	1	0	0	0	0	1	0	0	0	0	1	1	1	1
7	41	1	999	93.994	-36.4	4.857	1	0	0	0	1	0	0	0	0	0	1	1	0	0	1	1	1	1
8	24	1	999	93.994	-36.4	4.857	0	0	0	1	0	1	0	0	0	1	0	0	1	0	1	1	1	1
9	25	1	999	93.994	-36.4	4.857	0	0	1	0	0	1	0	0	1	0	0	0	1	0	1	1	1	1

Last rows

	age	campaign	pdays	previous	cons.price.idx	cons.conf.idx	euribor3m	job_blue-collar	job_retired	job_technician	job_unemployed	marital_married	marital_single	education_professional.course	education_university.degree	housing_yes	month_nov	day_of_week_thu	poutcome_nonexistent	poutcome_success	y
41178	62	2	6	3	94.767	-50.8	1.031	0	1	0	0	1	0	0	1	0	1	1	0	1	1
41179	64	3	999	0	94.767	-50.8	1.028	0	1	0	0	0	0	1	0	1	1	0	1	0	0
41180	36	2	999	0	94.767	-50.8	1.028	0	0	0	0	1	0	0	1	0	1	0	1	0	0
41181	37	1	999	0	94.767	-50.8	1.028	0	0	0	0	1	0	0	1	1	1	0	1	0	1
41182	29	1	9	1	94.767	-50.8	1.028	0	0	0	1	0	1	0	0	1	1	0	0	1	0
41183	73	1	999	0	94.767	-50.8	1.028	0	1	0	0	1	0	1	0	1	1	0	1	0	1
41184	46	1	999	0	94.767	-50.8	1.028	1	0	0	0	1	0	1	0	0	1	0	1	0	0
41185	56	2	999	0	94.767	-50.8	1.028	0	1	0	0	1	0	0	1	1	1	0	1	0	0
41186	44	1	999	0	94.767	-50.8	1.028	0	0	1	0	1	0	1	0	0	1	0	1	0	1
41187	74	3	999	1	94.767	-50.8	1.028	0	1	0	0	1	0	1	0	1	1	0	0	0	0

Most frequently occurring

	age	campaign	pdays	cons.price.idx	cons.conf.idx	euribor3m	job_housemaid	job_services	marital_married	marital_single	education_high.school	education_professional.course	education_university.degree	default_unknown	housing_yes	month_aug	month_jul	month_nov	day_of_week_thu	day_of_week_tue	day_of_week_wed	poutcome_nonexistent	# duplicates
92	27	1	999	93.918	-42.7	4.962	0	0	0	1	1	0	0	0	0	0	1	0	0	1	0	1	7
128	28	1	999	93.918	-42.7	4.962	0	1	1	0	1	0	0	0	0	0	1	0	0	1	0	1	7
129	28	1	999	93.918	-42.7	4.962	0	1	1	0	1	0	0	0	1	0	1	0	0	1	0	1	6
1109	43	1	999	93.918	-42.7	4.962	1	0	1	0	0	0	0	0	1	0	1	0	0	0	1	1	6
24	24	1	999	93.918	-42.7	4.962	0	1	0	1	0	1	0	0	1	0	1	0	0	0	1	1	5
88	27	1	999	93.918	-42.7	4.961	0	0	0	1	0	0	1	1	1	0	1	0	0	1	0	1	5
250	30	1	999	93.444	-36.1	4.964	0	0	0	1	1	0	0	0	0	1	0	0	0	0	0	1	5
317	31	1	999	93.200	-42.0	4.076	0	0	0	1	0	0	1	0	1	0	0	1	1	0	0	1	5
318	31	1	999	93.200	-42.0	4.076	0	0	1	0	0	0	1	0	0	0	0	1	1	0	0	1	5
420	32	1	999	93.444	-36.1	4.964	0	0	0	1	0	0	1	0	1	1	0	0	1	0	0	1	5

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script